26 citations · 28 across the 6 of their papers we have counts for
6 papers
Higher Partials of fStress
Jan de Leeuw
We define *fDistances*, which generalize Euclidean distances, squared distances, and log distances. The least squares loss function to fit fDistances to dissimilarity data is *fStr…
Majorizing Stress Formula Two
Jan de Leeuw
Modifications of the smacof algorithm for multidimensional scaling are proposed that provide a convergent majorization algorithm for Kruskal's stress formula two.
Global Minima by Penalized Full-dimensional Scaling
Jan de Leeuw
The full-dimensional (metric, Euclidean, least squares) multidimensional scaling stress loss function is combined with a quadratic external penalty function term. The trajectory of…
Convergence of SMACOF
Jan De Leeuw
To study convergence of SMACOF we introduce a modification mSMACOF that rotates the configurations from each of the SMACOF iterations to principal components. This modification, ca…
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI
Jan de Leeuw, Zaharah Bukhsh, Yingqian Zhang
Within the domain of e-commerce retail, an important objective is the reduction of parcel loss during the last-mile delivery phase. The ever-increasing availability of data, includ…
Improved approximation and visualization of the correlation matrix
Jan Graffelman, Jan de Leeuw
The graphical representation of the correlation matrix by means of different multivariate statistical methods is reviewed, a comparison of the different procedures is presented wit…